# import torch
# from collections import OrderedDict
import numpy as np

# model = torch.load('../mobilenet_v2_xd.pth')
# state_dict = model['state_dict']
# list_keys = list(state_dict.keys())

# new_state = {}
# for k in list_keys:
#         new_k = k.replace('backbone.', '')
#         new_state[new_k] = state_dict[k]

# new_model = OrderedDict(new_state)
# # torch.save(new_model, '../mobilenet_v2_xd.pth')
# print("ok")

for i in range(10):
        print(np.random.rand())